检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

2,295 篇 会议
1,018 篇 期刊文献
2 册 图书

馆藏范围

3,315 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,175 篇 工学
- 975 篇 计算机科学与技术...
- 972 篇 软件工程
- 700 篇 控制科学与工程
- 497 篇 机械工程
- 292 篇 电气工程
- 253 篇 信息与通信工程
- 225 篇 电子科学与技术（可...
- 201 篇 仪器科学与技术
- 136 篇 生物工程
- 114 篇 生物医学工程（可授...
- 92 篇 交通运输工程
- 86 篇 光学工程
- 86 篇 化学工程与技术
- 73 篇 动力工程及工程热...
- 68 篇 材料科学与工程（可...
- 53 篇 安全科学与工程
- 48 篇 航空宇航科学与技...
- 47 篇 土木工程
1,058 篇 理学
- 594 篇 数学
- 305 篇 系统科学
- 226 篇 物理学
- 183 篇 统计学（可授理学、...
- 149 篇 生物学
- 69 篇 化学
476 篇 管理学
- 368 篇 管理科学与工程(可...
- 114 篇 图书情报与档案管...
- 93 篇 工商管理
96 篇 医学
- 82 篇 临床医学
- 62 篇 基础医学(可授医学...
48 篇 经济学
- 48 篇 应用经济学
40 篇 法学
25 篇 农学
19 篇 教育学
15 篇 艺术学
9 篇 文学
7 篇 军事学
1 篇 历史学

主题

88 篇 feature extracti...
82 篇 training
53 篇 predictive model...
53 篇 control systems
53 篇 mathematical mod...
52 篇 optimization
51 篇 neural networks
49 篇 automation
48 篇 deep learning
48 篇 stability analys...
42 篇 computational mo...
41 篇 trajectory
39 篇 accuracy
36 篇 data models
35 篇 robustness
34 篇 reinforcement le...
34 篇 adaptation model...
33 篇 simulation
33 篇 delays
30 篇 state estimation

机构

876 篇 hubei key labora...
775 篇 school of automa...
385 篇 engineering rese...
172 篇 school of automa...
82 篇 qingdao academy ...
78 篇 school of artifi...
75 篇 key laboratory o...
59 篇 state key labora...
56 篇 state key labora...
54 篇 key laboratory o...
52 篇 university of ch...
51 篇 the state key la...
51 篇 state key labora...
50 篇 research institu...
43 篇 state key labora...
43 篇 yunnan key labor...
43 篇 the state key la...
43 篇 ministry of educ...
42 篇 school of engine...
41 篇 school of automa...

作者

154 篇 min wu
86 篇 fei-yue wang
82 篇 gang xiong
80 篇 weihua cao
69 篇 jinhua she
67 篇 xin chen
61 篇 wu min
50 篇 wang fei-yue
50 篇 yuanqing xia
49 篇 luefeng chen
46 篇 xiong gang
43 篇 yong he
43 篇 chen jie
40 篇 junzheng wang
38 篇 xiangdong liu
38 篇 cao weihua
38 篇 jie chen
37 篇 chuan-ke zhang
37 篇 chengda lu
35 篇 zhen shen

语言

2,968 篇 英文
306 篇 其他
48 篇 中文
2 篇 法文
1 篇 德文

检索条件"机构=Key Laboratory of Complex Systems and Intelligent Computing"

共 3315 条记录，以下是1341-1350 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

A Survey on Perspective-n-Point Problem

A Survey on Perspective-n-Point Problem

引用

第40届中国控制会议

作者： Shiye Pan Xinmei Wang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

Determining the position and orientation of the camera is a crucial problem with the rapidly developing technology in visual Simultaneous Localization and Mapping(SLAM),augmented reality and 3 D *** the Pn P(perspective-n-point) problem is an effective method to calculate the pose of the camera and is also the most widely used method in many *** this paper,the methods for Pn P problem,including special Pn P problem and general Pn P problem are summarized ***,due to importance of performing Pn P methods in practical applications,ability to handle outliers for Pn P methods is ***,the main problems of the current researches on Pn P problem are presented.

关键词： Perspective-n-point Problem Camera Pose Estimation Robustness to Outliers

来源：评论

学校读者我要写书评

暂无评论

Detection of Sequential Alarm Patterns in complex Industrial Facilities Using ClaSP and Top-K Algorithms

Detection of Sequential Alarm Patterns in Complex Industrial...

引用

第40届中国控制会议

作者： Zhuang Wang Wenkai Hu Weihua Cao Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

In modern complex industrial processes,due to poor rationalization of alarm systems and the complexity of process interconnections,alarm floods are commonly *** floods are also identified as the main causes of many industrial *** valid approach to deal with alarm floods is to mine meaningful alarm sequential patterns from alarm *** identified patterns can help to analyze root causes or to configure dynamic alarming *** this paper,a method based on the combination of ClaSP and Top-K is proposed to mine interesting alarm sequential patterns from historical alarm *** contributions of this study are twofold:1) A pattern mining approach is adapted to mine interesting patterns from alarm flood sequences;2) A pattern compression strategy is proposed to reduce pattern redundancy.A case study is presented to demonstrate the effectiveness of the proposed method.

关键词： Alarm system alarm flood sequential pattern mining process monitoring

来源：评论

学校读者我要写书评

暂无评论

The Database and Benchmark For the Source Speaker Tracing Challenge 2024

The Database and Benchmark For the Source Speaker Tracing Ch...

引用

IEEE Spoken Language Technology Workshop

作者： Ze Li Yuke Lin Tian Yao Hongbin Suo Pengyuan Zhang Yanzhen Ren Zexin Cai Hiromitsu Nishizaki Ming Li School of Computer Science Wuhan University Wuhan China Suzhou Municipal Key Laboratory of Multimodal Intelligent Systems Duke Kunshan University Kunshan China AI Center OPPO Beijing China Key Laboratory of Speech Acoustics and Content Understanding Institute of Acoustics CAS China Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan University Center for Language and Speech Processing Johns Hopkins University USA Integrated Graduate School of Medicine Engineering and Agricultural Sciences University of Yamanashi 4-4-37 Takeda Kofu Yamanashi Japan

ISBN: (数字)9798350392258

ISBN: (纸本)9798350392265

Voice conversion (VC) systems can transform audio to mimic another speaker’s voice, thereby attacking speaker verification (SV) systems. However, ongoing studies on source speaker verification (SSV) are hindered by limited data availability and methodological constraints. This paper presents the Source Speaker Tracking Challenge (SSTC) on STL 2024, which aims to fill the gap in the database and benchmark for the SSV task. In this study, we generate a large-scale converted speech database with 16 common VC methods and train a batch of baseline systems based on the MFA-Conformer architecture. In addition, we introduced a related task called conversion method recognition, with the aim of assisting the SSV task. We expect SSTC to be a platform for advancing the development of the SSV task and provide further insights into the performance and limitations of current SV systems against VC attacks. Further details about SSTC can be found here 1 . 1 https://***/

关键词： Databases Conferences Transforms Contrastive learning Benchmark testing Multitasking Calibration

来源：评论

学校读者我要写书评

暂无评论

A novel drilling rate of penetration(ROP) prediction method using data pre-processing techniques and T-S fuzzy inference

A novel drilling rate of penetration(ROP) prediction method ...

引用

第40届中国控制会议

作者： Xiang Wang Chao Gan Weihua Cao School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

Rate of penetration(ROP) prediction is crucial for the drilling optimization and cost-savings. In this paper, a novel drilling ROP prediction method is proposed and the prediction model can be divided into two stages(data pre-processing and T-S fuzzy inference modeling). In the first stage, four data pre-processing techniques(Reduction, re-sampling, wavelet filtering, and normalization) are used step by step to improve the quality of drilling data. In the second stage, T-S fuzzy inference method is introduced to establish the ROP prediction model. The experiment is executed by using the data from actual drilling process and the results demonstrate the effectiveness of proposed method in prediction accuracy compared with two conventional methods(response surface method and support vector regression).

关键词： Rate of penetration Drilling optimization Data pre-processing T-S fuzzy inference Drilling process

来源：评论

学校读者我要写书评

暂无评论

A pulse position coding-based mud pulse signal identification algorithm for Measurement While Drilling(MWD) system

A pulse position coding-based mud pulse signal identificatio...

引用

第32届中国过程控制会议(CPCC2021)

作者： Ziliang Yu Weihua Cao Chao Gan Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

Accurate identification of mud pulse signal is crucial for Measurement While Drilling(MWD) system due to its vital role in improving the drilling safety and *** this paper,a pulse position coding-based mud pulse signal identification algorithm is proposed for MWD system via two *** the signal preprocessing stage,wavelet filtering is introduced to reduce the noises in the raw mud pulse ***,a polynomial fitting-based detection method is used to remove the baseline drift in the *** the signal identification stage,a pulse signal position identification model is established to detect the pulse position,which does not need to set the detection threshold *** comparison results demonstrate that the proposed method has higher identification efficiency and accuracy than the conventional methods.

关键词： Mud pulse signal Wavelet analysis Polynomial fitting Pulse position identification model

来源：评论

学校读者我要写书评

暂无评论

Finite-Time State Estimation for Discrete-Time Nonlinear Singularly Perturbed complex Networks under New Event-Triggered Mechanism

Finite-Time State Estimation for Discrete-Time Nonlinear Sin...

引用

第40届中国控制会议

作者： Chao Yang Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

This paper investigates the finite-time state estimation problem for a class of discrete-time nonlinear singularly perturbed complex networks under a new dynamic event-triggered mechanism(DETM). This new DETM is devised to adjust the date packet transmissions flexibly with hope to save network resources. By constructing a new Lyapunov function dependent on the information of the singular perturbation parameter(SPP) and DETM, a sufficient condition is derived which ensures that the error dynamics of state estimation is finite-time stable. The parameters of the state estimator are given by means of the solutions to several matrix inequalities and the upper bound of the SPP can be evaluated simultaneously. The effectiveness of the designed state estimator is demonstrated by a numerical example.

关键词： complex networks dynamic event-triggered mechanism singularly perturbed systems state estimation

来源：评论

学校读者我要写书评

暂无评论

GSLB: the graph structure learning benchmark 23

GSLB: the graph structure learning benchmark

引用

Proceedings of the 37th International Conference on Neural Information Processing systems

作者： Zhixun Li Liang Wang Xin Sun Yifan Luo Yanqiao Zhu Dingshuo Chen Yingtao Luo Xiangxin Zhou Qiang Liu Shu Wu Jeffrey Xu Yu Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Center for Research on Intelligent Perception and Computing State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences and School of Artificial Intelligence University of Chinese Academy of Sciences and Department of Automation University of Science and Technology of China Department of Automation University of Science and Technology of China School of Cyberspace Security Beijing University of Posts and Telecommunications Department of Computer Science University of California Los Angeles Center for Research on Intelligent Perception and Computing State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences and School of Artificial Intelligence University of Chinese Academy of Sciences Heinz College of Information Systems and Public Policy Machine Learning Department School of Computer Science Carnegie Mellon University

Graph Structure Learning (GSL) has recently garnered considerable attention due to its ability to optimize both the parameters of Graph Neural Networks (GNNs) and the computation graph structure simultaneously. Despite the proliferation of GSL methods developed in recent years, there is no standard experimental setting or fair comparison for performance evaluation, which creates a great obstacle to understanding the progress in this field. To fill this gap, we systematically analyze the performance of GSL in different scenarios and develop a comprehensive Graph Structure Learning Benchmark (GSLB) curated from 20 diverse graph datasets and 16 distinct GSL algorithms. Specifically, GSLB systematically investigates the characteristics of GSL in terms of three dimensions: effectiveness, robustness, and complexity. We comprehensively evaluate state-of-the-art GSL algorithms in node- and graph-level tasks, and analyze their performance in robust learning and model complexity. Further, to facilitate reproducible research, we have developed an easy-to-use library for training, evaluating, and visualizing different GSL methods. Empirical results of our extensive experiments demonstrate the ability of GSL and reveal its potential benefits on various downstream tasks, offering insights and opportunities for future research. The code of GSLB is available at: https://***/GSL-Benchmark/GSLB.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Deep learning-based spatial modeling method for 3D formation drillability field

Deep learning-based spatial modeling method for 3D formation...

引用

第40届中国控制会议

作者： Lei Peng Chao Gan Weihua Cao School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

3D formation drillability field is crucial for drilling optimization and control due to its vital role in describing the spatial formation environment. Conventional geostatistical and machine learning methods are introduced to establish the ***, the modeling accuracy should be further improved to meet the high-level requirement of drilling engineering. In this paper, a novel deep learning-based spatial modeling method is proposed for 3D formation drillability field. First of all, the drilling process and its characteristics are described and analyzed. After that, long short-term memory（LSTM）, a deep learning method is proposed to establish the 3D formation drillability field model. The inputs of the model are the ground and depth coordinates and the output of the model is the formation drillability. Finally, 3D modeling and final test experiments are executed and the drilling data are from Xujiawei area, Northeast China. The results show the effectiveness of proposed method in modeling accuracy compared with four conventional methods（Random forest, Support vector regression, Scattered Interpolation, and Kriging）.

关键词： Spatial modeling Formation drillability LSTM 3D field Drilling process

来源：评论

学校读者我要写书评

暂无评论

Data Room Management System Based on Target Detection Algorithm

Data Room Management System Based on Target Detection Algori...

引用

第40届中国控制会议

作者： Zhicheng Zhao Weihua Cao Kang Li Yitao Chen School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

In recent years,streaming media services have been widely used in data room management *** order to record the user operations,host machine alarms and reminder in real time,target detection algorithms for streaming media have played an important *** target detection methods,limited by detection speed,are not suitable for such real-time ***,in this paper,we applies SSD（Single Shot MultiBox Detector） algorithm to data room management ***,we constructs a host operating image data set,and then perform data amplification by adding noise and ***,the SSD model is used to train a ***,after obtaining the target detection results,the NMS（Non-Maximum Suppression）algorithm is used to avoid the redundant detection *** the same time,some improvement measures are put forward to solve the problem of small target,leading to the difficulty of feature extraction and low detection *** experimental results demonstrate that the model can detect and track the target better in the video and meet the requirements of the real-time performance and accuracy of the system.

关键词： target detection data room management system streaming media SSD

来源：评论

学校读者我要写书评

暂无评论

Formation Control of Nonlinear Multi-Agent systems with Actuator and Communication Attacks

Formation Control of Nonlinear Multi-Agent Systems with Actu...

引用

第40届中国控制会议

作者： Shihao Wang Shiqi Zheng Chenghao Zhao Haitao Jian Haiming Li School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

In this paper, we focus on the formation control problems of MAS over a directed graph with actuator and communication attacks. The considered system is composed of a leader, some followers and an attacked communication network. Firstly,a new distributed observer is proposed to estimate the leader information despite communication attacks. Then, for high-order nonlinear systems, we develop an adaptive control strategy to solve the actuator attack by using Nussbaum function and backstepping technique, so that the agent with actuator attacks can follow the leader’s trajectory. Finally, a simulation example is proposed to verify the results of this paper.

关键词： Multi-agent systems formation control distributed observer attack nussbaum function

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共332页 << < 131 132 133 134 135 136 137 138 139 140 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：